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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
RNN
biblio
Anti-phishing System using LSTM and CNN
Submitted by grigby1 on Thu, 10/13/2022 - 11:17am
deep learning
Training
feature extraction
security
Support vector machines
CNN
pubcrawl
Human behavior
testing
Phishing
Uniform resource locators
classification
RNN
biblio
Deep Learning Based Event Correlation Analysis in Information Systems
Submitted by grigby1 on Thu, 09/29/2022 - 3:44pm
Computational modeling
event log
attention mechanism
GRU
RNN
Neural networks
i-o systems security
LSTM
computer science
deep learning
Scalability
Correlation
Software
pubcrawl
Servers
cyber security
Predictive models
biblio
DeCaptcha: Cracking captcha using Deep Learning Techniques
Submitted by grigby1 on Thu, 06/30/2022 - 12:17pm
deep learning
security
CNN
pubcrawl
Human behavior
Analytical models
Computers
composability
computer networks
GANs
usability
captchas
RNN
bidirectional LSTM
CAPTCHA
biblio
Cross-Site Scripting (XSS) and SQL Injection Attacks Multi-classification Using Bidirectional LSTM Recurrent Neural Network
Submitted by aekwall on Tue, 04/19/2022 - 10:27am
RNN
Cross Site Scripting
BiLSTM
XSS
SQL injection
web security
cross-site scripting
passwords
electronic commerce
deep learning
LSTM
Recurrent neural networks
Human behavior
Resiliency
Scalability
pubcrawl
feature extraction
Training
biblio
Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station
Submitted by grigby1 on Mon, 03/14/2022 - 11:38am
Compositionality
EVSE
electric vehicle charging
SCADA Systems Security
RNN
denial-of-service attack
Ransomware
LSTM
DNN
SCADA
Internet of Things
Smart Grids
SCADA systems
cyber-physical security
Resiliency
resilience
Human behavior
pubcrawl
CNN
deep learning
biblio
Securing SCADA Systems against Cyber-Attacks using Artificial Intelligence
Submitted by grigby1 on Mon, 03/14/2022 - 11:38am
Time series analysis
GRU
FNN
DBN
Bi-LSTM
SCADA Systems Security
RNN
AI
Technological innovation
ML
IDS
machine learning algorithms
Artificial Neural Networks
SCADA
Software algorithms
Compositionality
SCADA systems
Resiliency
resilience
Human behavior
pubcrawl
Intrusion Detection
biblio
DANTE: Predicting Insider Threat using LSTM on system logs
Submitted by aekwall on Mon, 11/08/2021 - 2:22pm
Cancer
CERT dataset
data privacy
information and communication technology
insider threat
logs
LSTM
Measurement
Natural languages
Predictive models
privacy
pubcrawl
Recurrent neural networks
RNN
security
threat vectors
biblio
Brain-Computer Interface based User Authentication System for Personal Device Security
Submitted by grigby1 on Tue, 03/09/2021 - 2:03pm
recurrent neural network
mentally selected circle
mentally uttered number
Metrics
particle filter
password
personal device security
PF
pubcrawl
recurrent neural nets
Kalman filters
resilience
RNN
security
security of data
SSVEP brain pattern
two stage security verification
user authentication system
visual evoked potentials
brain-computer interface system
Human behavior
Scalability
Resiliency
3 × 3 spatial matrix
BCI
biometric security
BIOS
brain
brain pattern classification
pattern locks
brain-computer interfaces
CCA
EKF
electroencephalography
EMD
ERNN
extended-Kalman filter
flickering circle
biblio
RNN-based Prediction for Network Intrusion Detection
Submitted by grigby1 on Tue, 02/23/2021 - 1:47pm
prediction model
sliding window
scoring function
RNN-based prediction
LSTM model
industrial IoT environments
data mining regression techniques
cosine similarity
anomaly detection methods
RNN
N-gram
LSTM
IDS
Euclidean distance
network intrusion detection
Internet of Things
regression analysis
composability
production engineering computing
recurrent neural nets
Data models
Resiliency
resilience
Metrics
pubcrawl
Intrusion Detection
Data mining
Anomaly Detection
Predictive models
security of data
biblio
Using Deep Learning Techniques for Network Intrusion Detection
Submitted by grigby1 on Tue, 02/23/2021 - 1:47pm
composability
RNN
network intrusion attacks
intelligent network intrusion detection system
cyber-security attacks
convolutional neural network
neural network
deep learning techniques
network intrusion detection
Recurrent neural networks
recurrent neural network
convolutional neural networks
deep learning
learning (artificial intelligence)
recurrent neural nets
network security
computer network security
Resiliency
resilience
Metrics
pubcrawl
Intrusion Detection
convolutional neural nets
CNN
machine learning
feature extraction
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